I design high-throughput services, pragmatic architectures, and integrations that ship measurable business impact. I’ve spent 9+ years scaling platforms from startup to IPO environments.
As a Technology Lead at Tracxn, I build and optimize backend systems that handle large-scale ingestion and API traffic. I care about clear system boundaries, predictable performance, and operational simplicity.
I’m strongest in Core Java, Spring Boot, MongoDB, SQL, and Kafka—shipping pragmatic solutions that keep teams fast and systems stable.
Led a team scaling APIs, microservices, and database infrastructure for a market intelligence platform.
Full stack development across adaptive learning products, coding platforms, and analytics.
Architected and led a fully automated discovery platform that continuously scanned domains, extracted business-relevant data, and published insights across teams with high concurrency and fault recovery.
Highlights: 6+ months continuous operation, ~40% compute reduction via Trie-based extraction, and ~40% faster publish cycle using a publishability score over 3000+ variables.
Built a unified config-driven framework for CRUD APIs, profile enrichment, and ETL workflows. It handled 10M+ writes/day across ~30TB data, enabled faster onboarding of new data sources, and improved consistency across microservices through MongoDB CDC and Kafka-based async processing.
Outcome: ~70% reduction in delivery timelines and better scalability by moving from pre-commit edit histories to post-commit audit-based eventing.
Reach out for collaboration, leadership roles, or to discuss backend architecture, reliability, and data systems.